Statistics 2 – Inference and Association

This course will teach you the use of inference and association through a series of practical applications, based on the resampling/simulation approach, and how to test hypotheses, compute confidence intervals regarding proportions or means, computer correlations, and use of simple linear regressions.

This course, the second of a three-course sequence, will teach you the use of inference and association through a series of practical applications, based on the resampling/simulation approach, and how to test hypotheses, compute confidence intervals regarding proportions or means, computer correlations, and use of simple linear regressions.

$489 | Enroll Now
Alert me to upcoming courses
Group Rates

Overview

This course is the second in a three-course sequence that provides an easy introduction to inference and association through a series of practical applications based on the resampling/simulation approach. Once you have completed this course you will be able to test hypotheses and compute confidence intervals regarding proportions or means, compute correlations and fit simple linear regressions.
4-Week Course
Expert Instructors
Teacher Assistant Support

Learning Outcomes

After completing this course, you will be able to test hypotheses and compute confidence intervals regarding proportions or means, compute correlations and fit simple linear regressions.

  • Calculate a confidence interval for a proportion
  • Conduct an A-B test
  • Calculate the correlation coefficient and test its statistical significance
  • Fit a simple regression line via least squares
  • Use the regression equation for predicting
  • Fit a multiple regression model
  • Distinguish between explanation and prediction in regression
  • Assess regression model fit (R-squared, goodness-of-fit, RMSE)
  • Interpret regression coefficients
  • Explain the use of k-nearest neighbors for prediction
  • Use a hold-out sample to assess performance of models

Who Should Take This Course

Anyone with no prior statistical background, who encounter statistics in their work, or who needs introductory statistics for further study.

Instructors

Mr. Peter Bruce

Mr. Peter Bruce

Mr. Peter Bruce is Founder and President of The Institute for Statistics Education at Statistics.com. He is the developer of Resampling Stats software (originated by Julian Simon in the 1970's), and has also taught resampling statistics at the University of Maryland and in a variety of short courses. He is the author of Data Mining for Business Analytics, with Galit Shmueli, Peter Gedeck, Inbal Yahav and Nitin R. Patel (Wiley, 3rd ed. 20...

See Instructor Bio
Anuja Kulkarni

Ms. Anuja Kulkarni

Ms. Anuja Kulkarni has managed and taught over 125 online course sessions and more than 1000 students as an Assistant Teacher at The Institute for Statistics Education. She holds a Masters’ degree in Statistics from Kolhapur University, India, where she also taught undergraduate statistics. Ms. Kulkarni teaches Statistics, Optimization Methods and Predictive Analytics and assists in several other course topics here for over six years. In all, her passion is leading new students into the fascinating and practical world of statistics through the introductory statistics course series at The Institute.